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Vahdat Abdelzad
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2020 – today
- 2024
- [c16]Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. WACV 2024: 3340-3349 - [i11]Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. CoRR abs/2401.04230 (2024) - 2022
- [c15]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. ITSC 2022: 4265-4271 - [c14]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV 2022: 813-820 - [i10]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. CoRR abs/2206.00214 (2022) - [i9]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. CoRR abs/2209.14435 (2022) - [i8]Sunsheng Gu, Vahdat Abdelzad, Krzysztof Czarnecki:
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection. CoRR abs/2210.11590 (2022) - 2021
- [j3]Timothy C. Lethbridge, Andrew Forward
, Omar Badreddin, Dusan Brestovansky, Miguel A. Garzón, Hamoud Aljamaan
, Sultan Eid
, Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Vahdat Abdelzad
, Opeyemi Adesina, Aliaa Alghamdi, Abdulaziz Algablan, Amid Zakariapour:
Umple: Model-driven development for open source and education. Sci. Comput. Program. 208: 102665 (2021) - [c13]Vahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki:
Non-divergent Imitation for Verification of Complex Learned Controllers. IJCNN 2021: 1-8 - [i7]Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae, Vahdat Abdelzad, Chengjie Huang, Maximilian Kahn, Van Duong Nguyen:
The missing link: Developing a safety case for perception components in automated driving. CoRR abs/2108.13294 (2021) - 2020
- [c12]Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards:
Simple Continual Learning Strategies for Safer Classifers. SafeAI@AAAI 2020: 96-104 - [c11]Aman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki:
Improved Policy Extraction via Online Q-Value Distillation. IJCNN 2020: 1-8 - [c10]Weitao Chen, Rick Salay, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki:
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning. ITSC 2020: 1-7 - [i6]Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay:
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches. CoRR abs/2006.14584 (2020)
2010 – 2019
- 2019
- [i5]Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki:
Analysis of Confident-Classifiers for Out-of-distribution Detection. CoRR abs/1904.12220 (2019) - [i4]Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki:
Out-of-distribution Detection in Classifiers via Generation. CoRR abs/1910.04241 (2019) - [i3]Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan:
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. CoRR abs/1910.10307 (2019) - 2018
- [j2]Opeyemi O. Adesina, Timothy C. Lethbridge
, Stéphane S. Somé, Vahdat Abdelzad, Alvine Boaye Belle:
Improving formal analysis of state machines with particular emphasis on and-cross transitions. Comput. Lang. Syst. Struct. 54: 544-585 (2018) - [c9]Omar Badreddin, Wahab Hamou-Lhadj
, Vahdat Abdelzad, Rahad Khandoker, Maged Elassar:
Collaborative Software Design and Modeling in Open Source Systems. SAM 2018: 219-228 - [i2]Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar:
Calibrating Uncertainties in Object Localization Task. CoRR abs/1811.11210 (2018) - [i1]Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar:
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. CoRR abs/1812.02765 (2018) - 2017
- [j1]Vahdat Abdelzad
, Timothy C. Lethbridge
:
Promoting traits into model-driven development. Softw. Syst. Model. 16(4): 997-1017 (2017) - 2016
- [c8]Omar Badreddin, Maged Elaasar, Vahdat Abdelzad:
Action languages and precise modeling for cyber-physical systems design and testing. CASCON 2016: 307-311 - [c7]Vahdat Abdelzad
, Timothy C. Lethbridge
, Mahmood Hosseini:
The role of semiotic engineering in software engineering. TOSE@ICSE 2016: 15-21 - [c6]Timothy C. Lethbridge
, Vahdat Abdelzad
, Mahmoud Husseini Orabi, Ahmed Husseini Orabi, Opeyemi Adesina:
Merging Modeling and Programming Using Umple. ISoLA (2) 2016: 187-197 - [c5]Omar Badreddin, Vahdat Abdelzad, Timothy Lethbridge, Maged Elaasar:
fSysML: Foundational Executable SysML for Cyber-Physical System Modeling. GEMOC@MoDELS 2016: 38-51 - 2015
- [c4]Vahdat Abdelzad, Daniel Amyot, Sanaa A. Alwidian, Timothy Lethbridge:
A Textual Syntax with Tool Support for the Goal-Oriented Requirement Language. iStar 2015: 61-66 - [c3]Vahdat Abdelzad:
Extended Traits for Model Driven Software Development. MoDELS (Doctoral Symposium) 2015 - [c2]Vahdat Abdelzad
, Daniel Amyot
, Timothy C. Lethbridge
:
Adding a Textual Syntax to an Existing Graphical Modeling Language: Experience Report with GRL. SDL Forum 2015: 159-174 - 2014
- [c1]Vahdat Abdelzad, Hamoud Aljamaan, Opeyemi Adesina, Miguel Garzón, Timothy Lethbridge:
A Model-Driven Solution for Financial Data Representation Expressed in FIXML. TTC@STAF 2014: 65-70
Coauthor Index
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last updated on 2024-04-25 05:42 CEST by the dblp team
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